A podcast about all things data, brought to you by data scientist Hugo Bowne-Anderson. It's time for more critical conversations about the challenges in our industry in order to build better compasses for the solution space! To this end, this podcast will consist of long-format conversations between Hugo and other people who work broadly in the data science, machine learning, and AI spaces. We'll dive deep into all the moving parts of the data world, so if you're new to the space, you'll hav ...
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Hugo Bowne Anderson Podcasts
Welcome to High Signal, the podcast for data science, AI, and machine learning professionals. High Signal brings you the best from the best in data science, machine learning, and AI. Hosted by Hugo Bowne-Anderson and produced by Delphina, each episode features deep conversations with leading experts, such as Michael Jordan (UC Berkeley), Andrew Gelman (Columbia) and Chiara Farranato (HBS). Join us for practical insights from the best to help you advance your career and make an impact in thes ...
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DataTalks.Club - the place to talk about data!
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Agile and Project Management - DrunkenPM Radio
Dave Prior, Agile Trainer, Consultant and Project Manager
A podcast about Agile and Project Management
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thinkLeaders tells the stories behind AI and business transformation through engaging interviews with top entrepreneurs, technologists, and researchers at the forefront of disruption. Join host Amanda Thurston as she and her guests offer insights and advice on strategic, data-driven leadership, and innovation. It is a deep dive into emerging technologies that unpacks and explains the issues, having some fun along the way. Brought to you by IBM. This channel is managed by Serena Peters and Am ...
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Navigating AI - Making Sense of Agents and When To Use Them with Hugo Bowne-Anderson
43:21
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43:21In this conversation, Dave Prior and Hugo Bowne-Anderson discuss the evolving landscape of AI and data science, focusing on the role of AI agents in solving business problems. Hugo shares insights on how to effectively implement AI solutions, the importance of understanding the underlying data, and the need for continuous improvement in AI systems.…
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How to Build and Evaluate AI systems in the Age of LLMs - Hugo Bowne-Anderson
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1:01:40In this talk, Hugo Bowne-Anderson, an independent data and AI consultant, educator, and host of the podcasts Vanishing Gradients and High Signal, shares his journey from academic research and curriculum design at DataCamp to advising teams at Netflix, Meta, and the US Air Force. Together, we explore how to build reliable, production-ready AI system…
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Episode 62: Practical AI at Work: How Execs and Developers Can Actually Use LLMs
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59:04Many leaders are trapped between chasing ambitious, ill-defined AI projects and the paralysis of not knowing where to start. Dr. Randall Olson argues that the real opportunity isn't in moonshots, but in the "trillions of dollars of business value" available right now. As co-founder of Wyrd Studios, he bridges the gap between data science, AI engine…
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Episode 27: Why Your Data Team Doesn't Have a Seat at the Table (And How to Earn It)
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41:35Paras Doshi (Head of Data, Opendoor; former data leader at Amazon) joins High Signal to unpack the playbook for building an indispensable data function. He shares his experience tackling the classic scaling challenge of fragmented data at Opendoor, where rapid growth led to inconsistent metrics across the business, and turning the data function int…
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From Biotechnology to Bioinformatics Software - Sebastian Ayala Ruano
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55:36In this talk, Sebastian, a bioinformatics researcher and software engineer, shares his inspiring journey from wet lab biotechnology to computational bioinformatics. Hosted by Data Talks Club, this session explores how data science, AI, and open-source tools are transforming modern biological research — from DNA sequencing to metagenomics and protei…
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How to be a Podcast Guest with Jay Hrcsko
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44:56This interview is also available via video form here: https://youtu.be/vkNbgwcolIMIf you’ve never been on a podcast before, the whole idea of it can be intimidating. What if you say the wrong thing? Or say “Um… to your point” too many times. EVERYONE will judge you. Your career will be over. It will be the end of days….Except none of that will happ…
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Episode 26: Gen AI's True Cost: Why Today's Wins Are Tomorrow's Debts
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43:14Vishnu Ram Venkataraman (Generative AI Executive & Entrepreneur; former AI Leader at Credit Karma and Intuit) joins High Signal to unpack the true cost of generative AI. Having scaled AI solutions impacting over 140 million users, Vishnu reveals why the ease of shipping Gen AI prototypes often masks significant operational and engineering debts, ch…
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Episode 61: The AI Agent Reliability Cliff: What Happens When Tools Fail in Production
28:04
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28:04Most AI teams find their multi-agent systems devolving into chaos, but ML Engineer Alex Strick van Linschoten argues they are ignoring the production reality. In this episode, he draws on insights from the LLM Ops Database (750+ real-world deployments then; now nearly 1,000!) to systematically measure and engineer constraint, turning unreliable pro…
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Making the Case for Middle Management with Dennis Stevens
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48:59Dennis Stevens joins drunkenpm for a deep dive into the challenges faced by middle management in organizational change. Dennis argues that Agile and transformation efforts often fail because they treat middle managers as a roadblock, when in fact, these managers are simply victims of a badly designed system. The core idea is that companies shouldn'…
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Lessons from Applied AI: Tesla, Waymo, and Beyond - Aishwarya Jadhav
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59:17In this episode, we talked with Aishwarya Jadhav, a machine learning engineer whose career has spanned Morgan Stanley, Tesla, and now Waymo. Aishwarya shares her journey from big data in finance to applied AI in self-driving, gesture understanding, and computer vision. She discusses building an AI guide dog for the visually impaired, contributing t…
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Building reliable AI products in the era of Gen AI and Agents - Ranjitha Kulkarni
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59:44In this episode, we talked with Ranjitha Kulkarni, a machine learning engineer with a rich career spanning Microsoft, Dropbox, and now NeuBird AI. Ranjitha shares her journey into ML and NLP, her work building recommendation systems, early AI agents, and cutting-edge LLM-powered products. She offers insights into designing reliable AI systems in th…
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From Theme Parks to Tesla: Building Data Products That Work
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1:00:45In this episode, we talked with Abouzar Abbaspour, a data engineer whose career spans software engineering in Iran, building crowd and recommendation systems at a Dutch theme park, deploying large-scale ML models at Bol.com, and now working at Tesla. Abouzar shares how he bridged diverse industries, tackled real-world data challenges, and adapted t…
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From Semiconductors to Machine Learning: A Career in Data and Teaching
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1:13:25In this episode, we chat with Dashel Ruiz, whose journey spans semiconductors, machine learning, and teaching. Dashel shares how he transitioned from hardware to data science, navigated complex projects in diverse industries, and now combines technical expertise with a passion for teaching. Tune in to hear insights on building a career in data, mas…
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Episode 25: How Data-Driven Growth Redefined a Media Giant
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56:22Sergey Fogelson (VP of Data Science, Televisa Univision) joins High Signal to reveal how the world’s largest Spanish-language media company built a sophisticated data engine from the ground up. This transformation fueled a tenfold expansion of its digital streaming business by redefining how the company connects with 300 million viewers worldwide. …
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You Need Comms More Than You Think with Ashley Lucio
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42:58In this conversation, Dave Prior speaks with Ashley Lucio about her extensive experience in communications, particularly focusing on the differences between internal communications and marketing. They discuss the challenges organizations face in deploying AI technologies and the importance of having communication professionals involved in these pro…
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Episode 60: 10 Things I Hate About AI Evals with Hamel Husain
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1:13:15Most AI teams find "evals" frustrating, but ML Engineer Hamel Husain argues they’re just using the wrong playbook. In this episode, he lays out a data-centric approach to systematically measure and improve AI, turning unreliable prototypes into robust, production-ready systems. Drawing from his experience getting countless teams unstuck, Hamel expl…
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Lessons from Two Decades of AI - Micheal Lanham
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59:58In this episode, we talk with Michael Lanham, an AI and software innovator with over two decades of experience spanning game development, fintech, oil and gas, and agricultural tech. Michael shares his journey from building neural network-based games and evolutionary algorithms to writing influential books on AI agents and deep learning. He offers …
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At PyData Berlin, community members and industry voices highlighted how AI and data tooling are evolving across knowledge graphs, MLOps, small-model fine-tuning, explainability, and developer advocacy. - Igor Kvachenok (Leuphana University / ProKube) combined knowledge graphs with LLMs for structured data extraction in the polymer industry, and not…
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From Astronomy to Applied ML - Daniel Egbo
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1:03:54In this episode, we talk with Daniel, an astrophysicist turned machine learning engineer and AI ambassador. Daniel shares his journey bridging astronomy and data science, how he leveraged live courses and public knowledge sharing to grow his skills, and his experiences working on cutting-edge radio astronomy projects and AI deployments. He also dis…
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Episode 59: Patterns and Anti-Patterns For Building with AI
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47:37John Berryman (Arcturus Labs; early GitHub Copilot engineer; co-author of Relevant Search and Prompt Engineering for LLMs) has spent years figuring out what makes AI applications actually work in production. In this episode, he shares the “seven deadly sins” of LLM development — and the practical fixes that keep projects from stalling. From context…
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Getting Your Resume Past ATS with Wahresume Featuring Johnu Marattil
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46:41(This podcast was originally recorded as a video episode. If you'd like to see that version: https://youtu.be/YSDNeAdyZiw)In this conversation, Dave Prior and Johnu Marattil discuss the challenges of job applications, particularly the importance of tailoring resumes for each position. Johnu shares his personal journey of creating a tool, WahResume,…
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Episode 24: Rebuilding an Airline for the 21st Century: LATAM's Data-Driven Transformation
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49:56Andrés Bucchi (Chief Data Officer, LATAM Airlines) joins High Signal to unpack how a century-old airline reinvented itself with data and AI—and how that transformation is unlocking value from fuel efficiency to fraud detection. LATAM has built a massive data operation, experimenting across everything from pricing to operations, while customers bene…
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Johanna Rothman DPM Take Over - No One Is Coming to Save You
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47:06In this engaging conversation, Johanna Rothman takes over Dave Prior's podcast to discuss the journey of writing their new book with Stu Young. They explore themes of self-responsibility, emotional intelligence, and the importance of visual thinking in navigating complexity. The authors share their personal experiences and insights on collaboration…
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Berlin Buzzwords 2025 Conference Interviews
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1:07:42At Berlin Buzzwords, industry voices highlighted how search is evolving with AI and LLMs. - Kacper Łukawski (Qdrant) stressed hybrid search (semantic + keyword) as core for RAG systems and promoted efficient embedding models for smaller-scale use. - Manish Gill (ClickHouse) discussed auto-scaling OLAP databases on Kubernetes, combining infrastructu…
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Episode 58: Building GenAI Systems That Make Business Decisions with Thomas Wiecki (PyMC Labs)
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1:00:45While most conversations about generative AI focus on chatbots, Thomas Wiecki (PyMC Labs, PyMC) has been building systems that help companies make actual business decisions. In this episode, he shares how Bayesian modeling and synthetic consumers can be combined with LLMs to simulate customer reactions, guide marketing spend, and support strategy. …
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Episode 23: Why Most AI Agents Fail (and What It Takes to Reach Production)
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51:17
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51:17Anu Bharadwaj (President, Atlassian) joins High Signal to unpack how humans and AI agents will work together across the enterprise, and how that shift could change the very nature of teamwork. Atlassian employees have already built thousands of agents across product, marketing, engineering, and HR teams, while customers like HarperCollins are cutti…
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Episode 57: AI Agents and LLM Judges at Scale: Processing Millions of Documents (Without Breaking the Bank)
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41:27While many people talk about “agents,” Shreya Shankar (UC Berkeley) has been building the systems that make them reliable. In this episode, she shares how AI agents and LLM judges can be used to process millions of documents accurately and cheaply. Drawing from work on projects ranging from databases of police misconduct reports to large-scale cust…
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From Medicine to Machine Learning: How Public Learning Turned into a Career - Pastor Soto
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59:31In this episode, We talked with Pastor, a medical doctor who built a career in machine learning while studying medicine. Pastor shares how he balanced both fields, leveraged live courses and public sharing to grow his skills, and found opportunities through freelancing and mentoring. TIMECODES 00:00 Pastor’s background and early programming journey…
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Personal Kanban Questions with Alexandre Silva
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49:11
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49:11Dave Prior transitions control of his podcast to Alex Silva, a fellow Personal Kanban practitioner. They discuss the challenges of time management and productivity, sharing personal experiences and strategies. Dave emphasizes the importance of using personal Kanban as a tool for self-reflection and optimization, rather than just task management. He…
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Episode 22: Why a Trillion Dollars of Market Cap Is Up for Grabs (and How AI Teams Will Win It)
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46:50Tomasz Tunguz (Theory Ventures) joins High Signal to unpack why a trillion dollars of market cap is up for grabs as AI reshapes enterprise software. He explains why workflows are now changing faster than packaged software can keep up, how “liquid software” is redefining CRM and marketing automation, and why background agents will require a new kind…
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How to Rebuild Data Trust? Mindful Data Strategy and Maintenance vs Innovation - Lior Barak
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1:01:30Struggling with data trust issues, dashboard drama, or constant pipeline firefighting? In this deep‑dive interview, Lior Barak shows you how to shift from a reactive “fix‑it” culture to a mindful, impact‑driven practice rooted in Zen/Wabi‑Sabi principles. You’ll learn: Why 97 % of CEOs say they use data, but only 24 % call themselves data‑driven Th…
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Episode 56: DeepMind Just Dropped Gemma 270M... And Here’s Why It Matters
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45:40While much of the AI world chases ever-larger models, Ravin Kumar (Google DeepMind) and his team build across the size spectrum, from billions of parameters down to this week’s release: Gemma 270M, the smallest member yet of the Gemma 3 open-weight family. At just 270 million parameters, a quarter the size of Gemma 1B, it’s designed for speed, effi…
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David Marquet - Distancing - How Great Leaders Reframe to Make Better Decisions
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36:34In this conversation, David Marquet shares his transformative leadership journey from commanding the Santa Fe submarine, one of the worst performers in the fleet, to implementing a culture of empowerment and accountability. He discusses the importance of shifting from a language of permission to a language of intent, encouraging leaders to empower …
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Episode 55: From Frittatas to Production LLMs: Breakfast at SciPy
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38:08Traditional software expects 100% passing tests. In LLM-powered systems, that’s not just unrealistic — it’s a feature, not a bug. Eric Ma leads research data science in Moderna’s data science and AI group, and over breakfast at SciPy we explored why AI products break the old rules, what skills different personas bring (and miss), and how to keep sy…
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Distancing - How Great Leaders Reframe to Make Better Decisions with Dr. Michael Gillespie
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41:04In this episode, Dave interviews Dr. Michael Gillespie about his book 'Distancing - How Great Leaders Reframe to Make Better Decisions', which explores psychological distancing as a tool for better decision-making. They discuss the importance of stepping outside one's own perspective to gain clarity, the different types of distancing (self, time, a…
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Episode 21: Why Great Data Still Leads to Bad Decisions (And How to Fix It)
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50:38Amy Edmondson (Harvard Business School) and Mike Luca (Johns Hopkins) join High Signal to unpack what actually drives good decisions in data‑rich organizations. Using contrasts like the Bay of Pigs vs. the Cuban Missile Crisis and product cases such as Airbnb’s work on measuring discrimination, they show how decision quality tracks conversation qua…
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Revolutionizing Team Coordination with Steady featuring Henry Poydar
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54:27In this conversation, Henry Poydar joins Dave on the podcast to discuss the innovative platform Steady, which aims to enhance team coordination and communication in the workplace. Henry shares his extensive background in engineering and web development, emphasizing the importance of context and intentions in project management. They explore the cha…
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From Simulations to Freelance Data Engineering: Orell's Journey Out of Academia and Into Consulting - Orell Garten
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58:22In this episode, we talk with Orell about his journey from electrical engineering to freelancing in data engineering. Exploring lessons from startup life, working with messy industrial data, the realities of freelancing, and how to stay up to date with new tools. Topics covered: Why Orel left a PhD and a simulation‑focused start‑up after Covid hit …
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Join Dave Prior as he sits down with Ross Beurmann, author of "From Theater to Flow: Rebuilding the System Behind Agility." In this episode, they delve into the challenges of agile transformations, the concept of "Agile Theater," and the importance of focusing on the middle management to drive meaningful change. Ross shares insights from his book a…
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Can You Quit Your Job and Still Succeed as a Data Freelancer?
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58:14Thinking about swapping your 9‑to‑5 for client work, but worried that a long German–style notice period will kill your chances? In this live interview, seven‑year data‑freelance veteran Dimitri walks through his experience of taking his freelance career to the next level. About the Speaker: Dimitri Visnadi is an independent data consultant with a …
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Building Resiliance with Agile2025 Keynote Speaker Tricia Broderick
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26:34Building Resiliance with Agile2025 Keynote Speaker Tricia BroderickDave Prior interviews Tricia Broderick for the Agile 2025 pre-conference, focusing on her keynote on building resilience. Tricia discusses the challenges of the current job market, including high unemployment and overworked employees. She emphasizes the importance of resilience and …
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Episode 20: Incentives, Accountability, and the Data Leader’s Dilemma
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1:03:13Daragh Sibley, Chief Algorithms Officer at Literati and former Director of Data Science at Stitch Fix, joins High Signal to unpack how machine-learning moves from slide-deck promise to bottom-line impact. He walks through his shift from academic research on how kids learn to read to owning inventory and personalization algorithms that decide which …
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Episode 54: Scaling AI: From Colab to Clusters — A Practitioner’s Guide to Distributed Training and Inference
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41:17Colab is cozy. But production won’t fit on a single GPU. Zach Mueller leads Accelerate at Hugging Face and spends his days helping people go from solo scripts to scalable systems. In this episode, he joins me to demystify distributed training and inference — not just for research labs, but for any ML engineer trying to ship real software. We talk t…
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Getting Ready for Agile 2025 with Reese Schmit
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30:49In this conversation, Dave Prior and Reece Schmidt discuss the upcoming Agile 2025 conference, focusing on its structure, keynotes, and unique features like the Hackathon for Good. They emphasize the importance of preparation for attendees, including tips for maximizing the conference experience, networking, and engaging with speakers. The conversa…
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Episode 53: Human-Seeded Evals & Self-Tuning Agents: Samuel Colvin on Shipping Reliable LLMs
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44:49Demos are easy; durability is hard. Samuel Colvin has spent a decade building guardrails in Python (first with Pydantic, now with Logfire), and he’s convinced most LLM failures have nothing to do with the model itself. They appear where the data is fuzzy, the prompts drift, or no one bothered to measure real-world behavior. Samuel joins me to show …
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Episode 19: Defaults, Decisions, and Dynamic Systems: Behavioral Science Meets AI
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54:08Lis Costa, Chief of Innovation and Partnerships at the Behavioural Insights Team, joins High Signal to explore how behavioral science is reshaping public policy, digital platforms, and machine learning. She explains how defaults influence behavior at scale, why personalization and chatbots are unlocking new kinds of interventions, and what happens …
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Episode 52: Why Most LLM Products Break at Retrieval (And How to Fix Them)
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28:38Most LLM-powered features do not break at the model. They break at the context. So how do you retrieve the right information to get useful results, even under vague or messy user queries? In this episode, we hear from Eric Ma, who leads data science research in the Data Science and AI group at Moderna. He shares what it takes to move beyond toy dem…
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An interview with Agile Alliance Conference Chair Chris Murman on what’s happening at Agile 2025 and why you want to be there. During the conversation, we discuss ways this year's event is different from the previous ones, focusing on the importance of addressing real problems within the Agile community, the challenges faced by professionals in the…
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Episode 51: Why We Built an MCP Server and What Broke First
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47:41What does it take to actually ship LLM-powered features, and what breaks when you connect them to real production data? In this episode, we hear from Philip Carter — then a Principal PM at Honeycomb and now a Product Management Director at Salesforce. In early 2023, he helped build one of the first LLM-powered SaaS features to ship to real users. M…
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Navigating Your Job Search in the Age of AI with Ed Stockwell
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55:46Looking for work is never easy but if you work in IT, Project Management or Agile and you're looking for a gig this may totally feel like the darkest timeline.In this conversation, Ed Stockwell joins drunkenpm to discuss the current challenges in the job market, particularly for those in project management and Agile roles. Ed and Dave explore the i…
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